Aug 4-6, 2022

Durham, NC

Join Our Interactive, Hands-On Workshop Featuring
the University of Alabama at Birmingham and Johns Hopkins Medicine

Workshop Presenters:

Dan E. Berkowitz, M.D., MBBCh

Chair of Anesthesiology and Perioperative Medicine

University of Alabama at Birmingham

James Fackler, MD

Professor, Anesthesiology and Critical Care Medicine and Pediatrics

Johns Hopkins University School of Medicine

Ryan C. Godwin, PhD

Data Scientist, Anesthesiology & Radiology

The University of Alabama at Birmingham

Ryan L Melvin, PhD

Principal Data Scientist

Department of Anesthesiology and Perioperative Medicine

The University of Alabama at Birmingham

Kathryn Rosenblatt, MD, MHS

Assistant Professor of Anesthesiology & Critical Care Medicine

Johns Hopkins University School of Medicine

August 4, 2022

2:00 - 4:00PM

Operationalizing Perioperative AI: A Pathway for Clinical Validation of Well-Studied Algorithms


AI-based tools built from comprehensive physiologic waveform datasets are key to delivering 'patient-centric' care at scale.

Join us to see how institutions like UAB and Johns Hopkins access and leverage real-time waveform data and integrate it with other time series data to close the loop from development to deployment of real-time patient centric AI.

See how complete datasets improve the accuracy of model fitting. Get the opportunity to work with sample models and data such as cerebral autoregulation. Meet directly with world-renowned researchers and physicians to discuss their work through an interactive workshop featuring 5 hands-on stations:

  1. Unlocking Data
  2. Defining the Clinical Problem
  3. Running Calculations
  4. Operationalizing the Research
  5. Future Work and Collaboration

Stop by the MIC Booth to see a demo of Sickbay™,
the platform powering this research, multimodal monitoring, and development and deployment of AI.

See how providers and researchers use Sickbay™ for research and clinical care:

Stephanie Cha, MD, Assistant Professor Anesthesiology and Critical Care

Remote monitoring of ECMO patients

Dr. Bergmann, MD, MHS, T32 Clinical Research Fellow and Pediatric Critical Care Medicine

The importance of high frequency data vs. EMR data

Craig Rusin, PhD, Associate Professor at Baylor College of Medicine, Texas Children's Hospital, and Associate Professor at Rice University

Predicting cardiorespiratory deterioration 1-2 hours in advance in HLHS patients

Danielle Rios, MD, MS, Clinical Associate Professor of Pediatrics-Neonatology

Cardiopulmonary Conference: Capturing cardiovascular monitoring data for improved research & care

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